Triple
T30846123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organ Cave |
E785637
|
entity |
| Predicate | rankInUSByLength |
P180651
|
FINISHED |
| Object | one of the longer caves in the United States |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one of the longer caves in the United States | Statement: [Organ Cave, rankInUSByLength, one of the longer caves in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInUSByLength Context triple: [Organ Cave, rankInUSByLength, one of the longer caves in the United States]
-
A.
rankByLengthInWorld
Indicates ordering entities within a given world or context based on their length, from shortest to longest or vice versa.
-
B.
rankByLengthInNorthAmerica
Indicates that entities are ordered or compared based on their length, considering only those located in or relevant to North America.
-
C.
rankByLength
Indicates ordering a set of items based on their length, typically from shortest to longest or vice versa.
-
D.
rankInAlaskaByLength
Indicates the position of something in an ordered list of items in Alaska when sorted by their length.
-
E.
rankingByLengthInChina
Indicates that entities are ordered or evaluated based on their length within the context of China.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 29, 2026, 8:46 p.m.